End-to-end workflow to create a custom Krea 2 image LoRA: research and assemble a training dataset (source images, curate by vision, write captions, optimize resolution), train it on fal's krea-2-trainer, validate the result, and publish it to the Hugging Face Hub with a proper model card and native <Gallery />. Use this whenever the user wants to train a Krea 2 LoRA, make a custom Krea image style/character/object, "train a lora like the krea ones", build or caption a dataset for Krea 2, fine-tune Krea 2 RAW/Turbo, run the fal krea-2-trainer, or publish a Krea LoRA to Hugging Face — even if they mention only one phase (e.g. "caption these images for a krea lora", "what resolution for krea training", or "publish my krea lora"). Also triggers on artist-style LoRAs for Krea (e.g. a Magritte or Ghibli style) and on questions about Krea LoRA steps / learning rate / dataset size.
2026-06-26